Triple
T17499908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS Management Console |
E426160
|
entity |
| Predicate | supportsService |
P203
|
FINISHED |
| Object | AWS WAF |
E293781
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: AWS WAF | Statement: [AWS Management Console, supportsService, AWS WAF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS WAF Context triple: [AWS Management Console, supportsService, AWS WAF]
-
A.
AWS WAF
chosen
AWS WAF is a cloud-based web application firewall service that helps protect web applications and APIs from common web exploits and bots.
-
B.
WAF
WAF is the vehicle registration code used on license plates for vehicles registered in the district of Warendorf in North Rhine-Westphalia, Germany.
-
C.
WAF
WAF is the three-letter station code used to identify Watford tube station on the London Underground network.
-
D.
AWS Firewall Manager
AWS Firewall Manager is a security management service that centrally configures and manages firewall rules and protections across multiple AWS accounts and resources.
-
E.
AWS Shield
AWS Shield is a managed distributed denial-of-service (DDoS) protection service that safeguards applications running on Amazon Web Services from malicious traffic and downtime.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452112ff0819089c2951baba90102 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c2067774819089728021aef5f967 |
completed | May 11, 2026, 11:48 a.m. |
Created at: April 10, 2026, 5:48 a.m.